@high_tech02: AI Agents: Smarter Systems for 2025 and Beyond AI agents are more than just tools—they’re intelligent systems that can think, act, and improve without constant input. In the past, building automations meant manually connecting apps and setting fixed rules. Now, AI agents enable workflows that adapt, learn, and operate independently. Here’s a simplified breakdown from the *2025 Guide to AI Agents*: ### **What Are AI Agents?** AI agents are autonomous systems that follow a loop: **Prompt → Thought → Action → Observation → Memory → Repeat** ### **Key Components of AI Agents** 1. **Environment**: Where the agent operates (APIs, web, databases) 2. **Perception**: How it gathers data (sensors, prompts) 3. **Memory**: Stores short-term or long-term information 4. **Reasoning**: Decides what to do next 5. **Action**: Executes tasks 6. **Learning (optional)**: Improves with feedback ### **Types of AI Agents** 1. **Reactive**: Respond instantly to inputs 2. **Deliberative**: Plan before acting 3. **Learning**: Improve over time with feedback 4. **Autonomous**: Operate without human input 5. **Collaborative**: Work alongside other agents or people ### **Tech Stack to Explore** - LangChain - Informatica iPaaS - AutoGPT - AgentGPT If you’re planning to build smarter AI systems in 2025, this structure is a great starting point to guide your thinking. Save this post as a quick reference or share it with someone exploring AI agents this year! #AI #AIAgents #ArtificialIntelligence #Innovation #FutureOfWork #TechLeadership #Automation #Informatica No alternative text

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Monday 14 April 2025 12:30:59 GMT